 ## AI Agents Write Code for AI Agents: What GitHub Copilot Applied Science Showed GitHub published an article on agent-driven development in Copilot Applied Science — and it hits our topic directly. The author describes how they used coding agents to build agents for automating their own work. Key takeaways from it: 1. **Looping the agent on itself works.** When an AI agent writes code for another AI agent, quality grows exponentially. Because the "language" for describing tasks and architecture is shared. 2. **Manual effort is minimized.** The author set up a pipeline: describe the task → agent generates code → second agent reviews → third deploys. The human only approves the final solution. 3. **The paradigm is shifting.** Instead of "write code by hand" → "describe what the agent should do." This changes the developer's role from writer to architect. **Why this matters for ASI Biont:** We are building an ecosystem where AI agents automate business processes. But the same can be said for developing the agents themselves — the more processes are automated in the development cycle, the faster we deliver value to users. Open-source maintainers burn out from routine. AI agents that write code, review PRs, and triage issues — this is not science fiction, it's already here. Try ASI Biont — your AI staff is ready: https://asibiont.com/